skip to main content
DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection

Abstract

Methods and apparatus automatically detect alertness in humans by monitoring and analyzing brain wave signals. Steps include: acquiring the brain wave (EEG or MEG) data from the subject, digitizing the data, separating artifact data from raw data, and comparing trends in f-data to alertness indicators, providing notification of inadequate alertness. 4 figs.

Inventors:
;
Issue Date:
Research Org.:
Lockheed Martin Energy Syst Inc
OSTI Identifier:
504946
Patent Number(s):
5,626,145
Application Number:
PAN: 8-619,031
Assignee:
Lockheed Martin Energy Systems, Inc., Oak Ridge, TN (United States)
DOE Contract Number:  
AC05-84OR21400
Resource Type:
Patent
Resource Relation:
Other Information: PBD: 6 May 1997
Country of Publication:
United States
Language:
English
Subject:
55 BIOLOGY AND MEDICINE, BASIC STUDIES; DIAGNOSTIC TECHNIQUES; NERVOUS SYSTEM DISEASES; MEDICAL EXAMINATIONS; MAN; MEASURING INSTRUMENTS; BRAIN; DESIGN; DATA COVARIANCES

Citation Formats

Clapp, N E, and Hively, L M. Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection. United States: N. p., 1997. Web.
Clapp, N E, & Hively, L M. Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection. United States.
Clapp, N E, and Hively, L M. Tue . "Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection". United States.
@article{osti_504946,
title = {Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection},
author = {Clapp, N E and Hively, L M},
abstractNote = {Methods and apparatus automatically detect alertness in humans by monitoring and analyzing brain wave signals. Steps include: acquiring the brain wave (EEG or MEG) data from the subject, digitizing the data, separating artifact data from raw data, and comparing trends in f-data to alertness indicators, providing notification of inadequate alertness. 4 figs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1997},
month = {5}
}